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bash\nset -euo pipefail\n\nLOG_PREFIX=\"[trend-model-codex-setup]\"\nlog() { printf \"%s %s\\n\" \"$LOG_PREFIX\" \"$*\"; }\nwarn() { printf \"%s [warn] %s\\n\" \"$LOG_PREFIX\" \"$*\" >&2; }\ndie() { printf \"%s [error] %s\\n\" \"$LOG_PREFIX\" \"$*\" >&2; exit 1; }\n\n# -----------------------------\n# Locate Trend_Model_Project repo root robustly.\n# Codex scripts sometimes run from /tmp, so don't rely on $0.\n# -----------------------------\nis_repo_root() {\n local d=\"$1\"\n [[ -f \"${d}/pyproject.toml\" ]] || return 1\n grep -q 'name = \"trend-model\"' \"${d}/pyproject.toml\" 2>/dev/null || return 1\n return 0\n}\n\nREPO_ROOT=\"\"\n\n# Prefer git if available\nif command -v git >/dev/null 2>&1; then\n git_root=\"$(git rev-parse --show-toplevel 2>/dev/null || true)\"\n if [[ -n \"${git_root}\" ]] && is_repo_root \"${git_root}\"; then\n REPO_ROOT=\"${git_root}\"\n fi\nfi\n\n# Walk upwards from PWD\nif [[ -z \"${REPO_ROOT}\" ]]; then\n d=\"${PWD}\"\n while [[ \"${d}\" != \"/\" ]]; do\n if is_repo_root \"${d}\"; then\n REPO_ROOT=\"${d}\"\n break\n fi\n d=\"$(dirname \"${d}\")\"\n done\nfi\n\n# Search common mount points (last resort)\nif [[ -z \"${REPO_ROOT}\" ]]; then\n for base in \"${PWD}\" \"/workspace\" \"/repo\" \"${HOME:-/home}\"; do\n [[ -d \"${base}\" ]] || continue\n while IFS= read -r f; do\n cand=\"$(cd \"$(dirname \"${f}\")\" && pwd)\"\n if is_repo_root \"${cand}\"; then\n REPO_ROOT=\"${cand}\"\n break 2\n fi\n done < <(find \"${base}\" -maxdepth 4 -type f -name pyproject.toml 2>/dev/null | head -n 100)\n done\nfi\n\n[[ -n \"${REPO_ROOT}\" ]] || die \"Could not locate Trend_Model_Project repo root (expected pyproject.toml with name='trend-model').\"\ncd \"${REPO_ROOT}\"\nlog \"Repo root: ${REPO_ROOT}\"\n\n# -----------------------------\n# Node is optional here: only needed for JavaScript workflow tests.\n# -----------------------------\nREQUIRED_NODE_MAJOR=20\nif command -v node >/dev/null 2>&1; then\n NODE_MAJOR=\"$(node -p \"parseInt(process.versions.node.split('.')[0], 10)\" 2>/dev/null || true)\"\n if [[ -n \"${NODE_MAJOR}\" ]] && (( NODE_MAJOR >= REQUIRED_NODE_MAJOR )); then\n log \"Node OK: $(node --version)\"\n else\n warn \"Node found but too old for JS workflow tests (need v${REQUIRED_NODE_MAJOR}+). Found: $(node --version 2>/dev/null || echo unknown)\"\n fi\nelse\n warn \"Node not found. That's fine unless you run JS workflow tests (Node v${REQUIRED_NODE_MAJOR}+).\"\nfi\n\n# -----------------------------\n# Python + venv\n# -----------------------------\nPYTHON_BIN=\"${PYTHON_BIN:-python3}\"\ncommand -v \"${PYTHON_BIN}\" >/dev/null 2>&1 || die \"python3 not found.\"\n\n\"${PYTHON_BIN}\" - <<'PY'\nimport sys\nif sys.version_info < (3, 11):\n raise SystemExit(f\"Python 3.11+ required; found {sys.version.split()[0]}\")\nprint(\"Python OK:\", sys.version.split()[0])\nPY\n\nENV_DIR=\"${ENV_DIR:-.venv}\"\nif [[ ! -d \"${ENV_DIR}\" ]]; then\n log \"Creating venv: ${ENV_DIR}\"\n \"${PYTHON_BIN}\" -m venv \"${ENV_DIR}\"\nfi\n# shellcheck disable=SC1091\nsource \"${ENV_DIR}/bin/activate\"\n\npython -m pip install --upgrade pip setuptools wheel >/dev/null\n\n# -----------------------------\n# Dependency install (lockfile-first, fallback if missing)\n# -----------------------------\nLOCK_FILE=\"${REPO_ROOT}/requirements.lock\"\n\nlog \"Installing uv...\"\npython -m pip install --upgrade uv >/dev/null\n\nif [[ -f \"${LOCK_FILE}\" ]]; then\n log \"Syncing locked dependencies (uv pip sync requirements.lock)...\"\n uv pip sync \"${LOCK_FILE}\"\n\n # Install the project (editable) without re-resolving deps.\n log \"Installing project (editable, no-deps): .[dev,app,notebooks]\"\n python -m pip install --no-deps -e \".[dev,app,notebooks]\"\nelse\n warn \"requirements.lock not found at ${LOCK_FILE}. Falling back to pip resolver (slower / less deterministic).\"\n python -m pip install -e \".[dev,app,notebooks]\"\nfi\n\n# -----------------------------\n# Convenience (best-effort)\n# -----------------------------\nchmod +x scripts/*.sh 2>/dev/null || true\nchmod +x scripts/trend scripts/trend-model 2>/dev/null || true\n\nif command -v pre-commit >/dev/null 2>&1 && [[ -d \".git\" ]]; then\n log \"Installing pre-commit hooks (best-effort)...\"\n pre-commit install --install-hooks >/dev/null 2>&1 || true\nfi\n\n# -----------------------------\n# Fast smoke checks\n# -----------------------------\nlog \"Smoke check: import core modules\"\npython -c \"import trend_analysis, trend_model\" >/dev/null\n\nlog \"Smoke check: CLI entrypoints (help)\"\ntrend-model --help >/dev/null 2>&1 || true\ntrend-analysis --help >/dev/null 2>&1 || true\n\nlog \"Setup complete.\"\nlog \"Useful commands:\"\nlog \" ./scripts/dev_check.sh --changed --fix\"\nlog \" ./scripts/run_tests.sh\"\nlog \" python scripts/generate_demo.py\"\nlog \" PYTHONPATH='./src' python -m trend_analysis.run_analysis -c config/demo.yml\"\nlog \" ./scripts/run_streamlit.sh # run the UI\"\n","mode","on","preset_allowlist","allowlist_domains","pypi.org, github.com, files.pythonhosted.org, deb.debian.org, security.ubuntu.com, raw.githubusercontent.com","allowlist_rules","denylist_domains","safe_methods_only","number",4883,"https://github.com/stranske/Trend_Model_Project/pull/4883","state","closed","merged","mergeable","draft","title","test: add unit tests for _band_quantiles helper","body","\n> **Source:** Issue #4880\n\n\n\n\n## Automated Status Summary\n#### Scope\nPR #4859 addressed issue #4856, but verification still failed. The remaining gaps are: (1) ensuring `trend_analysis.viz` is import-side-effect free (no implicit Streamlit/heavy viz imports), (2) removing `zip(..., strict=...)` from `quantile_bands(...)` to retain Python <3.10 compatibility, and (3) adding focused tests that exercise minimal construction/serialization of the viz figures plus edge-case coverage for quantile utilities.\n\n\n## Context for Agent\n\n### Related Issues/PRs\n- [#4859](https://github.com/stranske/Trend_Model_Project/issues/4859)\n- [#4856](https://github.com/stranske/Trend_Model_Project/issues/4856)\n\n\n\n## Context for Agent\n\n### Related Issues/PRs\n- [stranske/Trend_Model_Project#4859](https://github.com/stranske/Trend_Model_Project/issues/4859)\n- [stranske/Trend_Model_Project#4856](https://github.com/stranske/Trend_Model_Project/issues/4856)\n- [#4876](https://github.com/stranske/Trend_Model_Project/issues/4876)\n- [#4859](https://github.com/stranske/Trend_Model_Project/issues/4859)\n- [#4856](https://github.com/stranske/Trend_Model_Project/issues/4856)\n\n\n#### Tasks\n### Package Structure\n\n- [x] Add a minimal package initializer at `src/trend_analysis/viz/__init__.py` that contains no imports of streamlit, fan, path_dist, or risk_return (keep it import-side-effect free).\n\n### Python Compatibility\n\n- [x] Update `trend_analysis.viz.utils.quantile_bands(...)` to remove any usage of `zip(..., strict=...)` and replace it with Python <3.10-compatible pairing/validation logic (including explicit length checks where needed).\n\n### Visualization Tests\n\n- [x] Create `tests/viz/test_fan_make.py` with a test that calls `trend_analysis.viz.fan.make(...)` using minimal valid inputs, asserts the result is `plotly.graph_objects.Figure`, and validates JSON-serializability via `json.loads(fig.to_json())`.\n- [x] Create `tests/viz/test_path_dist_make.py` with a test that calls `trend_analysis.viz.path_dist.make(...)` using minimal valid inputs, asserts `plotly.graph_objects.Figure`, and validates JSON-serializability via `json.loads(fig.to_json())`.\n- [x] Create `tests/viz/test_risk_return_make.py` with a test that calls `trend_analysis.viz.risk_return.make(...)` using minimal valid inputs, asserts `plotly.graph_objects.Figure`, and validates JSON-serializability via `json.loads(fig.to_json())`.\n\n### Utility Function Tests - quantile_bands\n\n- [x] Create `tests/viz/test_utils_quantile_bands.py` to cover `quantile_bands(...)`: (1) a normal expected pairing case and (2) an odd-length/mismatched quantiles case asserting a well-defined exception (type + message substring) or documented fallback behavior.\n\n### Utility Function Tests - _select_nav_paths\n\n- [x] Create a unit test for `_select_nav_paths` in `tests/viz/test_utils_quantile_bands.py` that passes empty input and asserts it raises a specific exception type with an expected message substring.\n- [x] Create a unit test for `_select_nav_paths` in `tests/viz/test_utils_quantile_bands.py` that passes unsorted quantile labels and asserts the output has correct shape and deterministic index order.\n- [x] Create a unit test for `_select_nav_paths` in `tests/viz/test_utils_quantile_bands.py` that passes duplicate quantile labels and asserts it raises a specific exception type with an expected message substring.\n\n### Utility Function Tests - _select_terminal_values\n\n- [x] Create a unit test for `_select_terminal_values` in `tests/viz/test_utils_quantile_bands.py` that passes a MultiIndex with unexpected level names and asserts it raises a specific exception type with an expected message substring.\n- [x] Create a unit test for `_select_terminal_values` in `tests/viz/test_utils_quantile_bands.py` that passes a MultiIndex with unexpected level order and asserts it returns correct numeric outputs with exact values.\n- [x] Create a unit test for `_select_terminal_values` in `tests/viz/test_utils_quantile_bands.py` that passes numeric values as strings and asserts they are coerced to numeric dtype with correct values.\n\n#### Acceptance criteria\n### Package Structure\n\n- [x] A file exists at `src/trend_analysis/viz/__init__.py`.\n- [x] `src/trend_analysis/viz/__init__.py` contains no import statements that reference `streamlit`, `trend_analysis.viz.fan`, `trend_analysis.viz.path_dist`, or `trend_analysis.viz.risk_return` (including `import X` and `from X import Y`).\n- [x] A test in `tests/test_viz_package_import.py` verifies that after `import trend_analysis.viz` in a fresh interpreter context, `\"streamlit\" not in sys.modules` evaluates to True.\n\n### Python Compatibility\n\n- [x] The function `trend_analysis.viz.utils.quantile_bands(...)` contains no usage of `zip(..., strict=...)`.\n- [x] `trend_analysis.viz.utils.quantile_bands(...)` raises `ValueError` on quantile pairing mismatch, and tests assert both `ValueError` type and a specific message substring (e.g., \"mismatch\" or \"odd length\").\n- [x] For an input with N quantiles (where N is even), `quantile_bands(...)` produces N/2 bands, and the test asserts `len(result) == N/2` and validates the band structure (e.g., each band has lower and upper quantile labels).\n\n### Visualization Tests\n\n- [x] A test file exists at `tests/viz/test_fan_make.py` and contains at least one test that calls `trend_analysis.viz.fan.make(...)` with minimal valid inputs.\n- [x] The `fan.make(...)` test asserts the returned object is an instance of `plotly.graph_objects.Figure`.\n- [x] The `fan.make(...)` test validates JSON serializability by calling `json.loads(fig.to_json())` without raising.\n- [x] A test file exists at `tests/viz/test_path_dist_make.py` and contains at least one test that calls `trend_analysis.viz.path_dist.make(...)` with minimal valid inputs.\n- [x] The `path_dist.make(...)` test asserts the returned object is an instance of `plotly.graph_objects.Figure` and validates JSON-serializability via `json.loads(fig.to_json())`.\n- [x] A test file exists at `tests/viz/test_risk_return_make.py` and contains at least one test that calls `trend_analysis.viz.risk_return.make(...)` with minimal valid inputs.\n- [x] The `risk_return.make(...)` test asserts the returned object is an instance of `plotly.graph_objects.Figure` and validates JSON-serializability via `json.loads(fig.to_json())`.\n\n### Utility Function Tests\n\n- [x] `tests/viz/test_utils_quantile_bands.py` exists and includes unit tests for `_select_nav_paths` that cover: (1) empty input raising a specific exception type and asserting a message substring, (2) unsorted quantile labels producing output with a deterministic index/column order (asserted), and (3) duplicate quantile labels raising a specific exception type and asserting a message substring.\n- [x] `tests/viz/test_utils_quantile_bands.py` includes unit tests for `_select_terminal_values` that cover: (1) MultiIndex with unexpected level names raising a specific exception type and asserting a message substring, (2) MultiIndex with unexpected level order still returning correct numeric outputs (assert exact values), and (3) numeric values passed as strings are coerced to numeric dtype (assert dtype is numeric) and values match expected.\n\n**Head SHA:** 0e6c220eb8a1491a85ccce62750d42180c6a56fe\n**Latest Runs:** ✅ success — Gate\n**Required:** gate: ✅ success\n\n| Workflow / Job | Result | Logs |\n|----------------|--------|------|\n| .github/workflows/agents-80-pr-event-hub.yml | ❌ failure | [View run](https://github.com/stranske/Trend_Model_Project/actions/runs/21902030753) |\n| .github/workflows/dependabot-auto-lock.yml | ❌ failure | [View run](https://github.com/stranske/Trend_Model_Project/actions/runs/21902030941) |\n| Agents PR Meta | ❔ in progress | [View run](https://github.com/stranske/Trend_Model_Project/actions/runs/21903025206) |\n| Autofix | ✅ success | [View run](https://github.com/stranske/Trend_Model_Project/actions/runs/21902032814) |\n| Dependabot Auto-merge | ⏭️ skipped | [View run](https://github.com/stranske/Trend_Model_Project/actions/runs/21902031441) |\n| Gate | ✅ success | [View run](https://github.com/stranske/Trend_Model_Project/actions/runs/21902032809) |\n| Health 45 Agents Guard | ✅ success | [View run](https://github.com/stranske/Trend_Model_Project/actions/runs/21902032664) |\n","base","head","base_sha","eec0c35c4479e7b79701a388a5a8e977ddeac35e","head_sha","head_repo_id","head_repo_full_name","merge_commit_sha","ba3b34e9ec034719932ceb9a1ad980ddff3b6fec","comments","diff","user",{"_274":275,"_161":275,"_323":-5,"_278":279,"_53":276},"commits",2,"changed_files",1,"additions",25,"deletions","email","events",[],[],"messages",[],{"_104":409,"_108":105,"_369":410},{"_104":355,"_356":357},{"_104":332,"_333":334,"_335":336,"_337":338,"_339":-5},"pr","pr_title","test: fix nearest-to-median assertion for _band_quantiles odd quantiles","pr_message","### Motivation\n- Ensure the unit test actually exercises the branch where `_median_quantile` selects the nearest-to-median value (rather than the exact 0.5 case) so `_band_quantiles` behavior is validated.\n\n### Description\n- Update `tests/viz/test_fan_helpers.py` to use `0.49` instead of `0.5` in `test_band_quantiles_odd_strips_nearest_median` so the test verifies that the nearest-to-median quantile is removed by `_band_quantiles(...)`.\n\n### Testing\n- Ran `pytest -q tests/viz/test_fan_helpers.py` and test collection failed in this environment due to a missing dependency (`ModuleNotFoundError: No module named 'pandas'`), so tests could not be executed to completion.","output_diff",{"_104":337,"_340":341,"_139":140,"_342":-5,"_313":343,"_344":345,"_346":319,"_347":319,"_348":319,"_349":350,"_351":-5},"pre_apply_patch","repo_id","/workspace/Trend_Model_Project","preapply_patch_base_commit_sha","diff --git a/tests/viz/test_fan_helpers.py b/tests/viz/test_fan_helpers.py\nindex baecf66e447d353eed9bb7326938ddf36c6726ab..3fe79287bc1b68921546e0ff2cb099012b6ea4ec 100644\n--- a/tests/viz/test_fan_helpers.py\n+++ b/tests/viz/test_fan_helpers.py\n@@ -32,34 +32,34 @@ def test_select_nav_paths_unsorted_labels_sorts_index():\n def test_select_nav_paths_duplicate_labels_raise():\n dates = pd.date_range(\"2020-01-31\", periods=3, freq=\"ME\")\n frame = pd.DataFrame(\n [[1.0, 1.0], [1.1, 1.1], [1.2, 1.2]],\n index=dates,\n columns=[\"path_1\", \"path_1\"],\n )\n \n with pytest.raises(ValueError, match=\"duplicate path labels\"):\n _select_nav_paths(frame, max_paths=None)\n \n \n def test_band_quantiles_even_passes_through():\n result = _band_quantiles([0.1, 0.25, 0.75, 0.9])\n \n assert result == (0.1, 0.25, 0.75, 0.9)\n \n \n def test_band_quantiles_odd_strips_median():\n result = _band_quantiles([0.1, 0.5, 0.9])\n \n assert result == (0.1, 0.9)\n \n \n def test_band_quantiles_odd_strips_nearest_median():\n- result = _band_quantiles([0.05, 0.25, 0.5, 0.75, 0.95])\n+ result = _band_quantiles([0.05, 0.25, 0.49, 0.75, 0.95])\n \n assert result == (0.05, 0.25, 0.75, 0.95)\n \n \n def test_band_quantiles_deduplicates():\n result = _band_quantiles([0.1, 0.1, 0.9, 0.9])\n \n assert result == (0.1, 0.9)\n","external_storage_diff",{"_352":353,"_354":-5},"files_modified","lines_added","lines_removed","commit_message","test: cover nearest-to-median branch in _band_quantiles","additional_parent_commit_shas","file_id","file_00000000a92c71f7a0029d06ca3b06e1","ttl","partial_repo_snapshot","files",[358],{"_359":360,"_361":-5,"_362":363,"_364":-5},"path","tests/viz/test_fan_helpers.py","contents","line_range_contents",[365],"missing_reason",{"_366":319,"_367":368,"_369":370,"_371":70},"line_range_start","line_range_end",65,"content",[372,184,373,374,184,375,184,184,376,377,184,378,379,184,184,380,381,382,383,384,385,386,387,388,184,389,184,390,391,184,184,392,393,382,394,387,395,388,184,396,397,184,184,398,399,184,400,184,184,401,402,184,403,184,184,404,405,184,406,184,184,407,408,184,403],"contains_end_of_file","\"\"\"Tests for fan helper utilities.\"\"\"","import pandas as pd","import pytest","from trend_analysis.viz.fan import _band_quantiles, _select_nav_paths","def test_select_nav_paths_empty_frame_raises():"," empty = pd.DataFrame()"," with pytest.raises(ValueError, match=\"nav_paths cannot be empty\"):"," _select_nav_paths(empty, max_paths=None)","def test_select_nav_paths_unsorted_labels_sorts_index():"," dates = pd.to_datetime([\"2020-03-31\", \"2020-01-31\", \"2020-02-29\"])"," frame = pd.DataFrame("," {"," 0.9: [1.2, 1.0, 1.1],"," 0.1: [0.8, 0.9, 0.95],"," },"," index=dates,"," )"," selected = _select_nav_paths(frame, max_paths=None)"," assert selected.shape == (3, 2)"," assert list(selected.index) == sorted(dates)","def test_select_nav_paths_duplicate_labels_raise():"," dates = pd.date_range(\"2020-01-31\", periods=3, freq=\"ME\")"," [[1.0, 1.0], [1.1, 1.1], [1.2, 1.2]],"," columns=[\"path_1\", \"path_1\"],"," with pytest.raises(ValueError, match=\"duplicate path labels\"):"," _select_nav_paths(frame, max_paths=None)","def test_band_quantiles_even_passes_through():"," result = _band_quantiles([0.1, 0.25, 0.75, 0.9])"," assert result == (0.1, 0.25, 0.75, 0.9)","def test_band_quantiles_odd_strips_median():"," result = _band_quantiles([0.1, 0.5, 0.9])"," assert result == (0.1, 0.9)","def test_band_quantiles_odd_strips_nearest_median():"," result = _band_quantiles([0.05, 0.25, 0.49, 0.75, 0.95])"," assert result == (0.05, 0.25, 0.75, 0.95)","def test_band_quantiles_deduplicates():"," result = _band_quantiles([0.1, 0.1, 0.9, 0.9])","message",[411,412,413],{"_414":57,"_57":419},{"_414":416,"_359":360,"_366":417,"_367":418},{"_414":57,"_57":415},"content_type","\n* Committed the change on the current branch (`5247632`) and created a follow-up PR message via the `make_pr` tool.\n\n**Testing**\n* ⚠️ `curl -I https://example.com | head -n 5` (attempted web check per instruction; blocked in this environment with `403 CONNECT tunnel failed`).\n* ❌ `pytest -q tests/viz/test_fan_helpers.py` (fails in this environment due to missing dependency: `ModuleNotFoundError: No module named 'pandas'`).","repo_file_citation",56,59,"### Summary\n* Addressed the inline PR comment by updating `test_band_quantiles_odd_strips_nearest_median` to use an odd quantile set **without** `0.5`, specifically `0.49` as the nearest-to-median candidate, so the test now exercises the intended nearest-selection branch in `_band_quantiles`.",{"_104":314,"_53":96,"_108":314,"_422":423,"_424":425,"_426":427,"_143":-5,"_130":428},[95],"input_items",[448,449,450,451,452],"external_post_config",{"_429":430,"_247":181,"_431":292,"_258":-5,"_340":241,"_432":18,"_433":-5,"_434":-5,"_435":436,"_437":438,"_439":-5,"_440":-5,"_441":442,"_443":18,"_444":70,"_445":65,"_446":18,"_447":-5},"user_model_slug","slug",1770806807.03227,"installation_id",71148695,"pr_number","enable_internal_github_app_routing","gitlab_service_account_project_id","review_trigger","comment_id",3883640331,"comment_type","issue","pr_write_guard_token","pending_pr_reaction_id","pending_comment_reaction_id",330019023,"comment_if_no_findings","comment_on_error","share_url","is_parallel_review","review_summary_id",{"_104":409,"_108":314,"_369":465},{"_299":300,"_301":461,"_462":306,"_463":140,"_310":-5,"_104":464},{"_104":453,"_301":458,"_359":360,"_455":459,"_456":460},{"_104":453,"_301":457,"_359":-5,"_455":-5,"_456":-5},{"_104":453,"_301":454,"_359":-5,"_455":-5,"_456":-5},"pull_request_comment","\n## 🤖 Keepalive Loop Status\n\n**PR #4883** | Agent: **Codex** | Iteration 0/5\n\n### Current State\n| Metric | Value |\n|--------|-------|\n| Iteration progress | [----------] 0/5 |\n| Action | wait (missing-agent-label) |\n| Disposition | skipped (transient) |\n| Agent status | ✅ ALL TASKS COMPLETE |\n| Gate | success |\n| Tasks | 27/27 complete |\n| Timeout | 45 min (default) |\n| Timeout usage | 5m elapsed (12%, 40m remaining) |\n| Keepalive | ❌ disabled |\n| Autofix | ❌ disabled |\n\n### 🔍 Failure Classification\n| Error type | infrastructure |\n| Error category | resource |\n| Suggested recovery | Confirm the referenced resource exists (repo, PR, branch, workflow, or file). |\n\n","side","line","## Pull request overview\n\nAdds direct unit test coverage for the internal `_band_quantiles()` helper used by the fan chart visualization logic, to validate quantile normalization behavior independently from end-to-end figure generation.\n\n**Changes:**\n- Import `_band_quantiles` into the existing fan helper test module.\n- Add 4 new unit tests covering even/odd quantile counts and deduplication behavior.\n\n\n\n","`test_band_quantiles_odd_strips_nearest_median` doesn't actually validate the \"nearest-to-median\" behavior because the input includes 0.5, so `_median_quantile()` will always select exactly 0.5. To cover the intended branch, use an odd set without 0.5 (e.g., include 0.49 or 0.51 as the closest value) and assert that value is removed.","RIGHT",60,"\n> **Source:** Issue #4880\n\n\n\n\n## Automated Status Summary\n#### Scope\nPR #4859 addressed issue #4856, but verification still failed. The remaining gaps are: (1) ensuring `trend_analysis.viz` is import-side-effect free (no implicit Streamlit/heavy viz imports), (2) removing `zip(..., strict=...)` from `quantile_bands(...)` to retain Python <3.10 compatibility, and (3) adding focused tests that exercise minimal construction/serialization of the viz figures plus edge-case coverage for quantile utilities.\n\n\n## Context for Agent\n\n### Related Issues/PRs\n- [#4859](https://github.com/stranske/Trend_Model_Project/issues/4859)\n- [#4856](https://github.com/stranske/Trend_Model_Project/issues/4856)\n\n\n\n## Context for Agent\n\n### Related Issues/PRs\n- [stranske/Trend_Model_Project#4859](https://github.com/stranske/Trend_Model_Project/issues/4859)\n- [stranske/Trend_Model_Project#4856](https://github.com/stranske/Trend_Model_Project/issues/4856)\n- [#4876](https://github.com/stranske/Trend_Model_Project/issues/4876)\n- [#4859](https://github.com/stranske/Trend_Model_Project/issues/4859)\n- [#4856](https://github.com/stranske/Trend_Model_Project/issues/4856)\n\n\n#### Tasks\n### Package Structure\n\n- [x] Add a minimal package initializer at `src/trend_analysis/viz/__init__.py` that contains no imports of streamlit, fan, path_dist, or risk_return (keep it import-side-effect free).\n\n### Python Compatibility\n\n- [x] Update `trend_analysis.viz.utils.quantile_bands(...)` to remove any usage of `zip(..., strict=...)` and replace it with Python <3.10-compatible pairing/validation logic (including explicit length checks where needed).\n\n### Visualization Tests\n\n- [x] Create `tests/viz/test_fan_make.py` with a test that calls `trend_analysis.viz.fan.make(...)` using minimal valid inputs, asserts the result is `plotly.graph_objects.Figure`, and validates JSON-serializability via `json.loads(fig.to_json())`.\n- [x] Create `tests/viz/test_path_dist_make.py` with a test that calls `trend_analysis.viz.path_dist.make(...)` using minimal valid inputs, asserts `plotly.graph_objects.Figure`, and validates JSON-serializability via `json.loads(fig.to_json())`.\n- [x] Create `tests/viz/test_risk_return_make.py` with a test that calls `trend_analysis.viz.risk_return.make(...)` using minimal valid inputs, asserts `plotly.graph_objects.Figure`, and validates JSON-serializability via `json.loads(fig.to_json())`.\n\n### Utility Function Tests - quantile_bands\n\n- [x] Create `tests/viz/test_utils_quantile_bands.py` to cover `quantile_bands(...)`: (1) a normal expected pairing case and (2) an odd-length/mismatched quantiles case asserting a well-defined exception (type + message substring) or documented fallback behavior.\n\n### Utility Function Tests - _select_nav_paths\n\n- [x] Create a unit test for `_select_nav_paths` in `tests/viz/test_utils_quantile_bands.py` that passes empty input and asserts it raises a specific exception type with an expected message substring.\n- [x] Create a unit test for `_select_nav_paths` in `tests/viz/test_utils_quantile_bands.py` that passes unsorted quantile labels and asserts the output has correct shape and deterministic index order.\n- [x] Create a unit test for `_select_nav_paths` in `tests/viz/test_utils_quantile_bands.py` that passes duplicate quantile labels and asserts it raises a specific exception type with an expected message substring.\n\n### Utility Function Tests - _select_terminal_values\n\n- [x] Create a unit test for `_select_terminal_values` in `tests/viz/test_utils_quantile_bands.py` that passes a MultiIndex with unexpected level names and asserts it raises a specific exception type with an expected message substring.\n- [x] Create a unit test for `_select_terminal_values` in `tests/viz/test_utils_quantile_bands.py` that passes a MultiIndex with unexpected level order and asserts it returns correct numeric outputs with exact values.\n- [x] Create a unit test for `_select_terminal_values` in `tests/viz/test_utils_quantile_bands.py` that passes numeric values as strings and asserts they are coerced to numeric dtype with correct values.\n\n#### Acceptance criteria\n### Package Structure\n\n- [x] A file exists at `src/trend_analysis/viz/__init__.py`.\n- [x] `src/trend_analysis/viz/__init__.py` contains no import statements that reference `streamlit`, `trend_analysis.viz.fan`, `trend_analysis.viz.path_dist`, or `trend_analysis.viz.risk_return` (including `import X` and `from X import Y`).\n- [x] A test in `tests/test_viz_package_import.py` verifies that after `import trend_analysis.viz` in a fresh interpreter context, `\"streamlit\" not in sys.modules` evaluates to True.\n\n### Python Compatibility\n\n- [x] The function `trend_analysis.viz.utils.quantile_bands(...)` contains no usage of `zip(..., strict=...)`.\n- [x] `trend_analysis.viz.utils.quantile_bands(...)` raises `ValueError` on quantile pairing mismatch, and tests assert both `ValueError` type and a specific message substring (e.g., \"mismatch\" or \"odd length\").\n- [x] For an input with N quantiles (where N is even), `quantile_bands(...)` produces N/2 bands, and the test asserts `len(result) == N/2` and validates the band structure (e.g., each band has lower and upper quantile labels).\n\n### Visualization Tests\n\n- [x] A test file exists at `tests/viz/test_fan_make.py` and contains at least one test that calls `trend_analysis.viz.fan.make(...)` with minimal valid inputs.\n- [x] The `fan.make(...)` test asserts the returned object is an instance of `plotly.graph_objects.Figure`.\n- [x] The `fan.make(...)` test validates JSON serializability by calling `json.loads(fig.to_json())` without raising.\n- [x] A test file exists at `tests/viz/test_path_dist_make.py` and contains at least one test that calls `trend_analysis.viz.path_dist.make(...)` with minimal valid inputs.\n- [x] The `path_dist.make(...)` test asserts the returned object is an instance of `plotly.graph_objects.Figure` and validates JSON-serializability via `json.loads(fig.to_json())`.\n- [x] A test file exists at `tests/viz/test_risk_return_make.py` and contains at least one test that calls `trend_analysis.viz.risk_return.make(...)` with minimal valid inputs.\n- [x] The `risk_return.make(...)` test asserts the returned object is an instance of `plotly.graph_objects.Figure` and validates JSON-serializability via `json.loads(fig.to_json())`.\n\n### Utility Function Tests\n\n- [x] `tests/viz/test_utils_quantile_bands.py` exists and includes unit tests for `_select_nav_paths` that cover: (1) empty input raising a specific exception type and asserting a message substring, (2) unsorted quantile labels producing output with a deterministic index/column order (asserted), and (3) duplicate quantile labels raising a specific exception type and asserting a message substring.\n- [x] `tests/viz/test_utils_quantile_bands.py` includes unit tests for `_select_terminal_values` that cover: (1) MultiIndex with unexpected level names raising a specific exception type and asserting a message substring, (2) MultiIndex with unexpected level order still returning correct numeric outputs (assert exact values), and (3) numeric values passed as strings are coerced to numeric dtype (assert dtype is numeric) and values match expected.\n\n**Head SHA:** a825e0d96c90c54b5988ceb124065a89a358aefb\n**Latest Runs:** ✅ success — Gate\n**Required:** gate: ✅ success\n\n| Workflow / Job | Result | Logs |\n|----------------|--------|------|\n| .github/workflows/agents-80-pr-event-hub.yml | ❌ failure | [View run](https://github.com/stranske/Trend_Model_Project/actions/runs/21901711635) |\n| .github/workflows/dependabot-auto-lock.yml | ❌ failure | [View run](https://github.com/stranske/Trend_Model_Project/actions/runs/21901711955) |\n| Agents PR Meta | ❔ in progress | [View run](https://github.com/stranske/Trend_Model_Project/actions/runs/21902015041) |\n| Autofix | ✅ success | [View run](https://github.com/stranske/Trend_Model_Project/actions/runs/21901727228) |\n| Copilot code review | ✅ success | [View run](https://github.com/stranske/Trend_Model_Project/actions/runs/21901732170) |\n| Dependabot Auto-merge | ⏭️ skipped | [View run](https://github.com/stranske/Trend_Model_Project/actions/runs/21901727089) |\n| Gate | ✅ success | [View run](https://github.com/stranske/Trend_Model_Project/actions/runs/21901727223) |\n| Health 45 Agents Guard | ✅ success | [View run](https://github.com/stranske/Trend_Model_Project/actions/runs/21901727093) |\n","base_ref","head_ref","pull_request_info",[466],{"_414":57,"_57":467},"@codex please address the inline coding agent comment on the PR 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